Find Actionable Insights using Machine Learning and XGBoost

Let's Build a Student Retention Model with Python and Create a Report of Actionable Insights
4.31 (116 reviews)
Udemy
platform
English
language
Data Science
category
Manuel Amunategui
instructor
Find Actionable Insights using Machine Learning and XGBoost
4,861
students
37 mins
content
Mar 2020
last update
FREE
regular price

What you will learn

Build a report of actionable insights using modeling and data analysis

Model student behavior using XGBoost and predict struggling/at-risk students

Explore student data and identify what makes a struggling student different than successful students

Help teachers help students - and apply this insight-extracting approach to your other projects and models

Screenshots

Find Actionable Insights using Machine Learning and XGBoost - Screenshot_01Find Actionable Insights using Machine Learning and XGBoost - Screenshot_02Find Actionable Insights using Machine Learning and XGBoost - Screenshot_03Find Actionable Insights using Machine Learning and XGBoost - Screenshot_04
Related Topics
2847034
udemy ID
3/2/2020
course created date
3/11/2020
course indexed date
Bot
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